Rama Kumar Pasumarthi

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Rama Kumar Pasumarthi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Ronald J. Williams
  3. Yoshua Bengio
  4. Yann LeCun
  5. Thorsten Joachims
  6. Xuanhui Wang
  7. Richard S. Sutton
  8. Vinod Nair
  9. Nick Craswell
  10. Alex Krizhevsky

Who trusts Rama Kumar Pasumarthi overall

  1. J'er'emy Scheurer
  2. Daniel Gordon
  3. Felix Hill
  4. Xuan Shan
  5. Valts Blukis

Papers from Rama Kumar Pasumarthi's perspective

Ordered by how strongly the researchers Rama Kumar Pasumarthi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers